Evidence map›Paper›PMID 30236418›Full record

ArticleAnnals of emergency medicine2019

Expanding Health Information Exchange Improves Identification of Frequent Emergency Department Users.

Xiao Han, Tina Y Lowry, George T Loo, Elaine J Rabin, Zachary M Grinspan, Lisa M Kern, Gilad J Kuperman, Jason S Shapiro

Abstract read
In one paragraph

Article in Annals of emergency medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xiao HanIcahn School of Medicine at Mount Sinai, New York, NY. Electronic address: xiao.j.han@gmail.com.
Tina Y LowryIcahn School of Medicine at Mount Sinai, New York, NY.
George T LooIcahn School of Medicine at Mount Sinai, New York, NY.
Elaine J RabinIcahn School of Medicine at Mount Sinai, New York, NY.
Zachary M GrinspanWeill Cornell Medical College, New York, NY.
Lisa M KernWeill Cornell Medical College, New York, NY.
Gilad J KupermanNew York-Presbyterian Hospital, New York, NY.
Jason S ShapiroIcahn School of Medicine at Mount Sinai, New York, NY.

Funding

AHRQ HHS R01 HS021261
6 · The paper itself

Abstract

STUDY

objectiveFrequent emergency department (ED) users are of interest to policymakers and hospitals. The objective of this study is to examine the effect of health information exchange size on the identification of frequent ED users.

methodsWe retrospectively analyzed data from Healthix, a health information exchange in New York that previously included 10 hospitals and then grew to 31 hospitals. We divided patients into 3 cohorts: high-frequency ED users with 4 or more visits in any 30-day period, medium-frequency ED users with 4 or more visits in any year, and infrequent ED users with fewer than 4 visits in any year. For both the smaller (10-hospital) and larger (31-hospital) health information exchanges, we compared the identification rate of frequent ED users that was based on hospital-specific data with the corresponding rates that were based on health information exchange data.

resultsThe smaller health information exchange (n=1,696,279 unique ED patients) identified 11.4% more high-frequency users (33,467 versus 30,057) and 9.5% more medium-frequency users (109,497 versus 100,014) than the hospital-specific data. The larger health information exchange (n=3,684,999) identified 19.6% more high-frequency patients (52,727 versus 44,079) and 18.2% more medium-frequency patients (222,574 versus 192,541) than the hospital-specific data. Expanding from the smaller health information exchange to the larger one, we found an absolute increase of 8.2% and 8.7% identified high- and medium-frequency users, respectively.

conclusionIncreasing health information exchange size more accurately reflects how patients access EDs and ultimately improves not only the total number of identified frequent ED users but also their identification rate.

Indexed as

Health Information ExchangeHospital Information SystemsAdultContinuity of Patient CareEmergency Service, HospitalFemaleHealth Services MisuseHealth Services Needs and DemandHumansMaleMiddle AgedPatient Acceptance of Health CarePolicy MakingQuality ImprovementRetrospective Studies

Identifiers

PMID30236418
PMCPMC12945391

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.